
Predicting Survival Outcome of Localized Melanoma: An Electronic Prediction Tool Based on the AJCC Melanoma Database
Author(s) -
Seng Jaw Soong,
Shuo Ding,
Daniel G. Coit,
Charles M. Balch,
Jeffrey E. Gershenwald,
John F. Thompson,
Phyllis A. Gimotty
Publication year - 2010
Publication title -
annals of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.764
H-Index - 173
eISSN - 1534-4681
pISSN - 1068-9265
DOI - 10.1245/s10434-010-1050-z
Subject(s) - concordance , medicine , melanoma , proportional hazards model , surgical oncology , data set , survival analysis , correlation , multivariate statistics , concordance correlation coefficient , database , oncology , artificial intelligence , statistics , computer science , cancer research , mathematics , geometry
We sought to develop a reliable and reproducible statistical model to predict the survival outcome of patients with localized melanoma.